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ORCIDDavid J. T. Sumpter
Person information
- affiliation: Uppsala University, Department of Mathematics, Sweden
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2020 – today
- 2024
[i5]Linnéa Gyllingberg, Yu Tian, David J. T. Sumpter:
A minimal model of cognition based on oscillatory and reinforcement processes. CoRR abs/2402.02520 (2024)- 2023
- [i4]Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter:
The Lost Art of Mathematical Modelling. CoRR abs/2301.08559 (2023) - [i3]David J. T. Sumpter:
Precision at the indistinguishability threshold: a method for evaluating classification algorithms. CoRR abs/2311.11422 (2023) - 2022
- [c3]Abeba Birhane, David J. T. Sumpter:
The Games We Play: Critical Complexity Improves Machine Learning. HHAI 2022: 3-16 - [i2]Abeba Birhane, David J. T. Sumpter:
The games we play: critical complexity improves machine learning. CoRR abs/2205.08922 (2022)
2010 – 2019
- 2016
- [j9]Milena Tsvetkova
, Olof Nilsson, Camilla Öhman, Lovisa Sumpter, David J. T. Sumpter:
An experimental study of segregation mechanisms. EPJ Data Sci. 5(1): 4 (2016) - [j8]Viktoria Spaiser, David J. T. Sumpter:
Revising the Human Development Sequence Theory Using an Agent-Based Approach and Data. J. Artif. Soc. Soc. Simul. 19(3) (2016) - 2015
- [j7]Shyam Ranganathan, Stamatios C. Nicolis, Viktoria Spaiser, David J. T. Sumpter:
Understanding Democracy and Development Traps Using a Data-Driven Approach. Big Data 3(1): 22-33 (2015) - [j6]Boris Granovskiy, Jason M. Gold, David J. T. Sumpter, Robert L. Goldstone:
Integration of Social Information by Human Groups. Top. Cogn. Sci. 7(3): 469-493 (2015) - [i1]Milena Tsvetkova, Olof Nilsson, Camilla Öhman, Lovisa Sumpter, David J. T. Sumpter:
An Experimental Study of Segregation Mechanisms. CoRR abs/1510.01932 (2015) - 2014
- [j5]Natalia Zabzina, Audrey Dussutour, Richard P. Mann, David J. T. Sumpter, Stamatios C. Nicolis:
Symmetry Restoring Bifurcation in Collective Decision-Making. PLoS Comput. Biol. 10(12) (2014) - 2013
- [j4]Richard P. Mann, Andrea Perna, Daniel Strömbom, Roman Garnett, James E. Herbert-Read, David J. T. Sumpter, Ashley J. W. Ward:
Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection. PLoS Comput. Biol. 9(3) (2013) - [c2]Shyam Ranganathan, Viktoria Spaiser, David J. T. Sumpter:
A Bayesian Approach to Modeling Dynamical Systems in the Social Sciences. SIMULTECH 2013: 125-131 - 2012
- [j3]Andrea Perna, Boris Granovskiy, Simon Garnier, Stamatios C. Nicolis, Marjorie Labédan, Guy Theraulaz, Vincent Fourcassié, David J. T. Sumpter:
Individual Rules for Trail Pattern Formation in Argentine Ants (Linepithema humile). PLoS Comput. Biol. 8(7) (2012) - 2011
- [j2]Stamatios C. Nicolis, David J. T. Sumpter:
A Dynamical Approach to Stock Market fluctuations. Int. J. Bifurc. Chaos 21(12): 3557-3564 (2011)
2000 – 2009
- 2008
- [j1]David J. T. Sumpter, Jérôme Buhl, Dora Biro, Iain D. Couzin:
Information transfer in moving animal groups. Theory Biosci. 127(2): 177-186 (2008)
1990 – 1999
- 1998
- [c1]David J. T. Sumpter, David S. Broomhead:
Formalising the Link between Worker and Society in Honey Bee Colonies. MABS 1998: 95-110
Coauthor Index
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